Visualization and quantification of coconut using advanced computed tomography postprocessing technology
Computed tomography (CT) is a non-invasive examination tool that is widely used in medicine. In this study, we explored its value in visualizing and quantifying coconut. Twelve coconuts were scanned using CT for three months. Axial CT images of the coconuts were obtained using a dual-source CT scann...
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Veröffentlicht in: | PloS one 2023-02, Vol.18 (2), p.e0282182-e0282182 |
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creator | Lin, Shenghuang Zhang, Yu Luo, Li'an Huang, Mengxing Cao, Hongxing Hu, Jinyue Sun, Chengxu Chen, Jing |
description | Computed tomography (CT) is a non-invasive examination tool that is widely used in medicine. In this study, we explored its value in visualizing and quantifying coconut.
Twelve coconuts were scanned using CT for three months. Axial CT images of the coconuts were obtained using a dual-source CT scanner. In postprocessing process, various three-dimensional models were created by volume rendering (VR), and the plane sections of different angles were obtained through multiplanar reformation (MPR). The morphological parameters and the CT values of the exocarp, mesocarp, endocarp, embryo, bud, solid endosperm, liquid endosperm, and coconut apple were measured. The analysis of variances was used for temporal repeated measures and linear and non-linear regressions were used to analyze the relationship between the data.
The MPR images and VR models provide excellent visualization of the different structures of the coconut. The statistical results showed that the weight of coconut and liquid endosperm volume decreased significantly during the three months, while the CT value of coconut apple decreased slightly. We observed a complete germination of a coconut, its data showed a significant negative correlation between the CT value of the bud and the liquid endosperm volume (y = -2.6955x + 244.91; R2 = 0.9859), and a strong positive correlation between the height and CT value of the bud (y = 1.9576 ln(x) -2.1655; R2 = 0.9691).
CT technology can be used for visualization and quantitative analysis of the internal structure of the coconut, and some morphological changes and composition changes of the coconut during the germination process were observed during the three-month experiment. Therefore, CT is a potential tool for analyzing coconuts. |
doi_str_mv | 10.1371/journal.pone.0282182 |
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Twelve coconuts were scanned using CT for three months. Axial CT images of the coconuts were obtained using a dual-source CT scanner. In postprocessing process, various three-dimensional models were created by volume rendering (VR), and the plane sections of different angles were obtained through multiplanar reformation (MPR). The morphological parameters and the CT values of the exocarp, mesocarp, endocarp, embryo, bud, solid endosperm, liquid endosperm, and coconut apple were measured. The analysis of variances was used for temporal repeated measures and linear and non-linear regressions were used to analyze the relationship between the data.
The MPR images and VR models provide excellent visualization of the different structures of the coconut. The statistical results showed that the weight of coconut and liquid endosperm volume decreased significantly during the three months, while the CT value of coconut apple decreased slightly. We observed a complete germination of a coconut, its data showed a significant negative correlation between the CT value of the bud and the liquid endosperm volume (y = -2.6955x + 244.91; R2 = 0.9859), and a strong positive correlation between the height and CT value of the bud (y = 1.9576 ln(x) -2.1655; R2 = 0.9691).
CT technology can be used for visualization and quantitative analysis of the internal structure of the coconut, and some morphological changes and composition changes of the coconut during the germination process were observed during the three-month experiment. Therefore, CT is a potential tool for analyzing coconuts.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0282182</identifier><identifier>PMID: 36827442</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Biology and Life Sciences ; Coconut ; Coconut palm ; Cocos ; Computed tomography ; Correlation ; CT imaging ; Endosperm ; Evaluation ; Germination ; Medical imaging ; Medical research ; Medicine and Health Sciences ; Morphology ; Physical Sciences ; Research and Analysis Methods ; Seeds ; Technology ; Three dimensional models ; Tomography ; Tomography Scanners, X-Ray Computed ; Tomography, X-Ray Computed - methods ; Values ; Visualization ; X-rays</subject><ispartof>PloS one, 2023-02, Vol.18 (2), p.e0282182-e0282182</ispartof><rights>Copyright: © 2023 Lin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2023 Public Library of Science</rights><rights>2023 Lin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2023 Lin et al 2023 Lin et al</rights><rights>2023 Lin et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c641t-3d7b982d798fee6140b97a4521df6a75e5ebb338ef4c43f7a1b1b35de82f5fe63</cites><orcidid>0000-0001-7383-0273</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9956593/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC9956593/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,315,729,782,786,866,887,2104,2930,23873,27931,27932,53798,53800</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36827442$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Schniepp, Hannes C</contributor><creatorcontrib>Lin, Shenghuang</creatorcontrib><creatorcontrib>Zhang, Yu</creatorcontrib><creatorcontrib>Luo, Li'an</creatorcontrib><creatorcontrib>Huang, Mengxing</creatorcontrib><creatorcontrib>Cao, Hongxing</creatorcontrib><creatorcontrib>Hu, Jinyue</creatorcontrib><creatorcontrib>Sun, Chengxu</creatorcontrib><creatorcontrib>Chen, Jing</creatorcontrib><title>Visualization and quantification of coconut using advanced computed tomography postprocessing technology</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Computed tomography (CT) is a non-invasive examination tool that is widely used in medicine. In this study, we explored its value in visualizing and quantifying coconut.
Twelve coconuts were scanned using CT for three months. Axial CT images of the coconuts were obtained using a dual-source CT scanner. In postprocessing process, various three-dimensional models were created by volume rendering (VR), and the plane sections of different angles were obtained through multiplanar reformation (MPR). The morphological parameters and the CT values of the exocarp, mesocarp, endocarp, embryo, bud, solid endosperm, liquid endosperm, and coconut apple were measured. The analysis of variances was used for temporal repeated measures and linear and non-linear regressions were used to analyze the relationship between the data.
The MPR images and VR models provide excellent visualization of the different structures of the coconut. The statistical results showed that the weight of coconut and liquid endosperm volume decreased significantly during the three months, while the CT value of coconut apple decreased slightly. We observed a complete germination of a coconut, its data showed a significant negative correlation between the CT value of the bud and the liquid endosperm volume (y = -2.6955x + 244.91; R2 = 0.9859), and a strong positive correlation between the height and CT value of the bud (y = 1.9576 ln(x) -2.1655; R2 = 0.9691).
CT technology can be used for visualization and quantitative analysis of the internal structure of the coconut, and some morphological changes and composition changes of the coconut during the germination process were observed during the three-month experiment. Therefore, CT is a potential tool for analyzing coconuts.</description><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Coconut</subject><subject>Coconut palm</subject><subject>Cocos</subject><subject>Computed tomography</subject><subject>Correlation</subject><subject>CT imaging</subject><subject>Endosperm</subject><subject>Evaluation</subject><subject>Germination</subject><subject>Medical imaging</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Morphology</subject><subject>Physical Sciences</subject><subject>Research and Analysis Methods</subject><subject>Seeds</subject><subject>Technology</subject><subject>Three dimensional models</subject><subject>Tomography</subject><subject>Tomography Scanners, X-Ray Computed</subject><subject>Tomography, X-Ray Computed - 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and quantification of coconut using advanced computed tomography postprocessing technology</title><author>Lin, Shenghuang ; Zhang, Yu ; Luo, Li'an ; Huang, Mengxing ; Cao, Hongxing ; Hu, Jinyue ; Sun, Chengxu ; Chen, Jing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c641t-3d7b982d798fee6140b97a4521df6a75e5ebb338ef4c43f7a1b1b35de82f5fe63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Coconut</topic><topic>Coconut palm</topic><topic>Cocos</topic><topic>Computed tomography</topic><topic>Correlation</topic><topic>CT imaging</topic><topic>Endosperm</topic><topic>Evaluation</topic><topic>Germination</topic><topic>Medical imaging</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Morphology</topic><topic>Physical Sciences</topic><topic>Research and Analysis Methods</topic><topic>Seeds</topic><topic>Technology</topic><topic>Three dimensional models</topic><topic>Tomography</topic><topic>Tomography Scanners, X-Ray Computed</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Values</topic><topic>Visualization</topic><topic>X-rays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lin, Shenghuang</creatorcontrib><creatorcontrib>Zhang, Yu</creatorcontrib><creatorcontrib>Luo, Li'an</creatorcontrib><creatorcontrib>Huang, Mengxing</creatorcontrib><creatorcontrib>Cao, Hongxing</creatorcontrib><creatorcontrib>Hu, Jinyue</creatorcontrib><creatorcontrib>Sun, Chengxu</creatorcontrib><creatorcontrib>Chen, Jing</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing 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One</addtitle><date>2023-02-24</date><risdate>2023</risdate><volume>18</volume><issue>2</issue><spage>e0282182</spage><epage>e0282182</epage><pages>e0282182-e0282182</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Computed tomography (CT) is a non-invasive examination tool that is widely used in medicine. In this study, we explored its value in visualizing and quantifying coconut.
Twelve coconuts were scanned using CT for three months. Axial CT images of the coconuts were obtained using a dual-source CT scanner. In postprocessing process, various three-dimensional models were created by volume rendering (VR), and the plane sections of different angles were obtained through multiplanar reformation (MPR). The morphological parameters and the CT values of the exocarp, mesocarp, endocarp, embryo, bud, solid endosperm, liquid endosperm, and coconut apple were measured. The analysis of variances was used for temporal repeated measures and linear and non-linear regressions were used to analyze the relationship between the data.
The MPR images and VR models provide excellent visualization of the different structures of the coconut. The statistical results showed that the weight of coconut and liquid endosperm volume decreased significantly during the three months, while the CT value of coconut apple decreased slightly. We observed a complete germination of a coconut, its data showed a significant negative correlation between the CT value of the bud and the liquid endosperm volume (y = -2.6955x + 244.91; R2 = 0.9859), and a strong positive correlation between the height and CT value of the bud (y = 1.9576 ln(x) -2.1655; R2 = 0.9691).
CT technology can be used for visualization and quantitative analysis of the internal structure of the coconut, and some morphological changes and composition changes of the coconut during the germination process were observed during the three-month experiment. Therefore, CT is a potential tool for analyzing coconuts.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>36827442</pmid><doi>10.1371/journal.pone.0282182</doi><tpages>e0282182</tpages><orcidid>https://orcid.org/0000-0001-7383-0273</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Biology and Life Sciences Coconut Coconut palm Cocos Computed tomography Correlation CT imaging Endosperm Evaluation Germination Medical imaging Medical research Medicine and Health Sciences Morphology Physical Sciences Research and Analysis Methods Seeds Technology Three dimensional models Tomography Tomography Scanners, X-Ray Computed Tomography, X-Ray Computed - methods Values Visualization X-rays |
title | Visualization and quantification of coconut using advanced computed tomography postprocessing technology |
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